Dynamic programming (DP) is one of the most important and effective optimization methodologies in almost every field. There are many classic DP algorithms in physical design that have been massively ...

Abstract: This paper proposes a control scheme integrating adaptive dynamic programming and dynamic surface control for optimal trajectory tracking of unmanned surface vessels, considering input ...

This study develops a unified framework for optimal portfolio selection in jump–uncertain stochastic markets, contributing both theoretical foundations and computational insights. We establish the ...

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...

ABSTRACT: Offline reinforcement learning (RL) focuses on learning policies using static datasets without further exploration. With the introduction of distributional reinforcement learning into ...

SAN FRANCISCO--(BUSINESS WIRE)--$BRKR #BRKR--Bruker Corporation today announced the introduction of its groundbreaking dissolution Dynamic Nuclear Polarization (d-DNP ...

Key Lab of Organic Optoelectronics & Molecular Engineering and Laboratory of Flexible Electronics Technology, Department of Chemistry, Tsinghua University, Beijing 100084, China Article Views are the ...

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